Synthesis of renewable alkylated decalins with p-quinone and 2-methyl-2,4-pentanediol

Decalins are the main component of JP-900, a coal-based thermal stable advanced aviation fuel. Meanwhile, these compounds are also widely used as additives to improve the volumetric heat value and...

Purification of Biogas From Tofu Waste using Zeolite and Activated Carbon (AC) as Adsorbent

<p>Substitution of fossil fuel into alternative energy sources, such as biogas, needs to be applied to prevent various problems in the environment. Biogas purification can be an alternative technology to improve the quality of biogas, which increases the heat value by reducing CO2. Purification can be carried out by the adsorption method using solid adsorbents, for example natural zeolite and activated carbon. This study used 12 reactors from PVC, with 2 different diameters, 3 different mesh size (20,50,80) and was given both zeolite (A1-A3; B1-B3) and activated carbon (A4-A6; B4-B6). Biogas purification with the addition of zeolite has an optimal compound content in reactor A3 which has an increase in CH4 (63.63%) and decrease in CO2 composition (25.07%), which is better than other reactors. Meanwhile, the results of measurements of gas content on the addition of activated carbon showed optimal performance in reactor A6, which was increased to 76.86% for CH4 levels and CO2 levels dropped to 19.79%.</p>

Artificial Intelligence-Assisted Mapping of Proliferation Centers in Chronic Lymphocytic Leukemia/ Small Lymphocytic Lymphoma Identifies Patterns That Reliably Distinguish Accelerated Phase and Large Cell Transformation

Background Chronic lymphocytic leukemia (CLL) involving tissues is characterized by sheets of small lymphocytes and vague nodules of larger cells, known as proliferation centers (PCs). CLL can undergo progression to accelerated CLL (aCLL) or further progress to diffuse large B-cell lymphoma, also known as Richter transformation (RT). Distinguishing CLL with many PCs from aCLL or RT can be challenging, particularly in small needle-biopsy specimens. In this study, we sought to design an artificial intelligence (AI)-based tool to automate and enhance the delineation of PCs and provide an objective approach to CLL/SLL acceleration/transformation. Material & Methods We manually annotated 25, 28 and 21 regions of interest (ROIs) encompassing small round PCs and confluent/ expanded PCs of 10 CLL, 12 aCLL, and 8 RT digitized hematoxylin & eosin stained slides, respectively (Figure A1). We analyzed the ROIs with both length and width larger than 2,000 pixels and set the tile length and stride as 1,000 and 100 pixels, respectively (Figure A1), and were able to extract sufficient tiles from each ROI (Figure A2). To recreate PCs, after performing nuclear segmentation via convolutional neural network and quality control, we quantified the nuclear size/intensity of cells occupying each tile (Figure A3). Nuclear size varied from 8 to 108 square micrometers, and nuclear mean intensity varied from 0 to 255. We normalized both the values of nuclear size and mean intensity to 0.0 and 1.0, by subtracting the minimum value and dividing it by the value range length. Nuclear size and mean intensity were represented as S(celli) and Imean(celli), respectively. We estimated the heat value of one tile integrating nuclear and mean intensity using the equationin Figure A2. Results We generated heatmaps based on the heat values per tile inside each ROI from the 3 disease entities (CLL, aCLL and RT), as illustrated in Figures B1-4. Areas with high heat values (in the yellow spectrum) correspond to tiles harboring cells with increased nuclear size and mean intensity (PCs in CLL cases and expanded/ confluent PCs in aCLL and RT cases). In contrast, areas with low heat values (in the blue spectrum) correspond to tiles with decreased nuclear size and mean intensity (small neoplastic lymphocytes surrounding PCs) (Figure B4).We then generated a heat value histogram per tile for each ROI (Figure B5).Based on these results, the two optimal thresholds isolated to obtain the highest separation value among the three disease entities based on the optimal F-score were: 0.228, below which the case was most likely to be CLL, and 0.288, above which the case was most likely to be RT. Cases with heat values ranging between 0.228 and 0.288 were most likely aCLL cases. We then plotted the mean heat value frequencies of the 3 entities: There was a significant difference in the ranges of mean heat value frequencies for CLL, aCLL, and RT, which were 0.168 to 0.233, 0.212 to 0.307, and 0.261 to 0.353, respectively (Figure C). The accuracy and area under the curve diagnostic predictive values using data from nuclear size alone were 0.658 (+/-0.115) and 0.771 (+/-0.096), respectively; and using mean nuclear intensity, 0.679 (+/-0.094) and 0.841 (+/-0.052), respectively; with a noticeable increase using heat value frequencies (integrating the nuclear size and mean nuclear intensity) reaching 0.813 (+/-0.0630) and 0.885 (+/-0.109), respectively. Conclusion We describe a novel AI-based heatmap technique to objectively assess the extent of PCs in CLL, based on the integrative analysis of cell nuclear size and mean nuclear intensity. We suggest that an ROI mean heat value less than 0.228 is predictive of CLL, and more than 0.288 is predictive of RT. aCLL cases demonstrate a mean heat value ranging from 0.228 to 0.288. Using the mean heat value of all cases, we were able to reliably separate the three entities in question with robust diagnostic predictive values. Figure 1 Figure 1. Disclosures Khoury: Stemline Therapeutics: Research Funding; Kiromic: Research Funding; Angle: Research Funding.

BRIKET BIOMASSA DARI JERAMI PADI, SAMPAH DAUN DAN KOTORAN SAPI

Indonesia memiliki banyak limbah pertanian yang selama ini hanya dibiarkan atau dibakar begitu saja. Limbah pertanian yang merupakan biomassa mengandung selulosa cukup tinggi dapat digunakan sebagai sumber energi terbarukan berupa briket. Penelitian ini bertujuan untuk mengetahui karakteristik briket yang dibuat dari jerami padi, sampah daun dan kotoran sapi untuk dibandingkan dengan standar briket arang. Dalam penelitian ini dibuat briket dari bahan jerami padi, sampah daun dan kotoran sapi. Pembuatan briket biomassa dilakukan dengan teknik karbonisasi di dalam drum yang tertutup. Arang yang diperolah dihaluskan dan diayak 50 mesh selanjutnya ditambah bahan perekat berupa tapioka dengan perbandingan 7:1 dan sedikit air kemudian dicetak secara manual. Setelah dicetak, briket arang yang diperoleh dijemur dibawah sinar matahari selama 3 hari. Waktu terbentuknya arang dari berbagai jenis biomassa berbeda-beda, waktu optimum untuk bahan dari jerami padi 30 menit, sampah daun 60 menit dan 75 menit untuk kotoran sapi dengan rendemen masing-masing 24,39%, 29,03%, dan 26,26%. Briket yang dihasilkan dari biomassa jerami padi memiliki kadar air 5,9% kadar abu 8,02%, kadar zat mudah menguap 35,68%, kadar karbon terikat 37,48% dan nilai kalor 3000 kal/gr. Briket dari sampah daun memiliki kadar air 5,6%, kadar abu 8,02%, kadar zat mudah menguap 32,46%, kadar karbon terikat 40,55% dan nilai kalor 4600 kal/gr. Briket dari kotoran sapi memiliki kadar air 8,4%, kadar abu 8,32%, kadar zat mudah menguap 26,63%, kadar karbon terikat 50,66% dan nilai kalor 5200 kal/gr. Kata kunci: briket, jerami padi, kotoran sapi,nilai kalor, sampah daun. AbstractIndonesia has a lot of agricultural waste that has been left or burned. Agricultural waste containing high cellulose which to be used as a renewable energy source in the form of briquettes. This study aims to find out the characteristics of briquettes made from rice straw, leaf litter and cow dung to be compared to standard charcoal briquettes. In this study made briquettes from rice straw, leaf waste and cow dung. The manufacture of biomass briquettes was done by carbonization in a closed drum. The charcoal reduced in size in 50 mesh added tapioca adhesive in ratio of 7: 1 and a little water then formed to be briquettes manually. The charcoal briquettes obtained are dried in the sun for 3 days. The time for formation of charcoal from various types of biomass were varies, the optimum time for rice straw was 30 minutes, leaf waste was 60 minutes and 75 minutes for cow dung with yields of charcoal of rice straw was 24.39%, 29.03% for leaf waste and cow dung was 26.26%. Briquettes produced from biomass of rice straw have a water content of 5.9% ash content of 8.02%, a volatile substance content of 35.68%, a carbon-bound content of 37.48% and a heat value of 3000 cal/gr. Briquettes from leaf litter have a water content of 5.6%, ash content of 8.02%, a volatile substance content of 32.46%, a carbon-bound content of 40.55% and a heat value of 4600 cal/gr. Briquettes from cow dung have a water content of 8.4%, ash content of 8.32%, a volatile substance content of 26.63%, a carbon-bound content of 50.66% and a heat value of 5200 cal/gr. Keywords: briquettes, cow dung, heat value, leaf litter rice straw..

PYROLYSIS OF PINE WOOD SAWDUST IN THE PRESENCE OF NATURAL ALUMINOSILICATE-BASED CATALYSTS

Пиролиз лигноцеллюлозного сырья в ценные продукты является перспективным направлением для переработки отходов деревообрабатывающей промышленности и для получения энергоносителей. Поиск катализаторов, обеспечивающих максимальный выход и теплоценность получаемых продуктов, - это актуальный вопрос в развитии технологии пиролиза. В данной работе были проведены исследования по влиянию катализаторов на основе природных алюмосиликатов на пиролиз сосновых опилок. Было найдено, что катализатор Ni-Red Clay оказывает наибольшее влияние на процесс термодеструкции сосновых опилок, приводя к увеличению выхода жидких и газообразных продуктов пиролиза. Pyrolysis of lignocellulose feedstock into valuable products is a promising direction for processing waste from the woodworking industry and for obtaining energy carriers. The search for catalysts that provide the maximum yield and heat value of the products obtained is an urgent issue in the development of pyrolysis technology. In this paper, studies on the effect of catalysts based on natural aluminosilicates on the pyrolysis of pinewood sawdust were carried out. It was found that the Ni-Red Clay catalyst has the highest influence on the process of thermal degradation of pinewood sawdust, leading to an increase in the yield of liquid and gaseous pyrolysis products.

Simulation and optimization of a combined cycle power plant with low heating value fuel gas

Combined cycle power plant (CCPP) usually plays an important role in balancing byproduct gas generation and consumption in integrated iron and steel plant. The low heat value fuel gases, such as blast furnace gas (BFG) or mixed gas with Coke oven gas (COG) and BFG, are preferred to be used in high-efficient CCPP for power generation. In practice, the general heat value of mixed gas can be set in the range of 3500–4400[Formula: see text]kJ/Nm3. This paper presents a methodology to simulate operating parameters of CCPP with BFG. A generic model of gas turbine with open loop stage cooling employing air is used to simulate the performance of gas turbines cycle under different compressor pressure ratios and turbine inlet temperatures (TIT). The isentropic efficiencies for gas compressor and gas turbine are supposed to be constants and set corresponding to published industrial experience. The steam cycle is composed of classical double-pressure heat recovery steam generator (HRSG) and steam turbines according to gas turbine outlet temperature. Specific work, gas turbine cycle efficiency, cogeneration thermal efficiency and coolant air flow requirements are evaluated to find the optimal compressor pressure ratio and TIT. The research results are useful to select the optimum operating parameters of CCPP with BFG. Performance features were estimated with the help of compression ratios 12.5–20 and combustor exit temperature 1150–1350[Formula: see text]C.

KARAKTERISTIK TERMAL CAMPURAN BIOSOLAR DAN BIODIESEL MINYAK BIJI RANDU (CEIBA PENTANDRA)

Research involving thermal characteristics of mixture of biodiesel from kapok (ceibapentandra) and biosolar has been conducted. Biosolar and biodiesel mixed with 5 different composition:B0 (100% biodiesel), B10 (10% biodiesel), B20, B30, and B100 (100% biodiesel). Laboratory experimentwas conducted to obtain several fuel characteristics: heating value, flash point, density, and viscosity.Biosolar is evaporated at a temperature of 120°C and then the steam is flowed to a bunsen burner with afixed discharge (2 ml/minute) and mixed with air in the equivalent ratio variation (φ) 0.8; 1; and 1,2 andturned on. The resulting flame was recorded with the camera and an analysis of the flame was carriedout. Thermal characteristics of this biodiesel have properties in accordance with biosolar standards ofPT Pertamina Indonesia. The heating value of biosolar is 10,602 cal/gram and biodiesel is 8,641cal/gram, and the mixture has heating value among them. As for the characteristics of the flame with highheat values, the core of the flame is covered in blue which shows the highest heat value.

Experiment to determine the specific heat of oils

During machining process cutting fluids are used to minimize the heat that is developed between tool, work piece and the chip. Heat absorption capacity of any cutting fluid used is measured by specific heat. Higher the specific heat better will the heat absorption capacity. This paper discusses the experimental procedure used to measure the specific heat of Neem oil, Honge (Karanja), Sunflower oil and Petroleum based oil (Hydro 68). This experiment is a function of temperature with respect to time. This method is validated by measuring the specific heat of distilled water, since the standard specific heat value of distilled water is known. The results show that Specific Heat of Neem Oil is good compared to Honge and sunflower Oil, but less compared to Petroleum oil (Hydro 68) which is used as cutting fluid for drilling operation in Industries after mixing with water.

Pyrolysis of Solid Waste for Bio-Oil and Char Production in Refugees’ Camp: A Case Study

The current research focuses on assessing the potential of municipal solid waste (MSW) conversion into biofuel using pyrolysis process. The MSW samples were taken from Zaatari Syrian Refugee Camp. The physical and chemical characteristics of MSW were studied using proximate and elemental analysis. The results showed that moisture content of MSW is 32.3%, volatile matter (VM) is 67.99%, fixed carbon (FC) content is 5.46%, and ash content is 24.33%. The chemical analysis was conducted using CHNS analyzer and found that the percentage of elements contents: 46% Carbon (C) content, 12% Hydrogen (H2), 2% Nitrogen (N2), 44% Oxygen (O2), and higher heat value (HHV) is 26.14 MJ/kg. The MSW pyrolysis was conducted using tubular fluidized bed reactor (FBR) under inert gas (Nitrogen) at 500 °C with 20 °C/min heating rate and using average particles size 5–10 mm. The products of MSW pyrolysis reaction were: pyrolytic liquid, solid char, and gaseous mixture. The pyrolytic oil and residual char were analyzed using Elemental Analyzer and Fourier Transform Infrared Spectroscopy (FTIR). The results of FTIR showed that oil product has considerable amounts of alkenes, alkanes, and carbonyl groups due to high organic compounds contents in MSW. The elemental analysis results showed that oil product content consists of 55% C, 37% O2, and the HHV is 20.8 MJ/kg. The elemental analysis of biochar showed that biochar content consists of 47% C, 49% O2, and HHV is 11.5 MJ/kg. Further research is recommended to study the effects of parameters as reactor types and operating conditions to assess the feasibility of MSW pyrolysis, in addition to the environmental impact study which is necessary to identify and predict the relevant environmental effects of this process.

Thermodynamic Properties of the Superconducting State in Metallic Hydrogen: Electronic Correlations, Non-conventional Electron-Phonon Couplings and the Anharmonic Effects

Thermodynamical properties of the superconducting state in metallic hydrogen were determined on the basis of the model of two compressed hydrogen planes. We took into account both the on-site and the inter-site electronic correlations (U and K), as well as the relevant non-conventional electron-phonon coupling functions (gU and gK). We proved, within the Eliashberg formalism, that the maximum value of the critical temperature of transition into the superconducting state is about 200 K for the harmonic approximation, and about 84 K for the Morse anharmonic approximation. Omission of the electronic correlations results in a considerable overstatement of the TC value. On the other hand, the TC value is remarkably understated if the non-conventional interactions are disregarded. Other thermodynamic quantities, such as the order parameter, the jump in the specific heat value, the thermodynamic critical field, and the upper critical field, take the values for which the non-dimensional ratios RΔ, RC, RH and RH2 do not differ substantially from the predictions of the BCS theory.